Authors: George Rajna
"By modelling neurons using computers, we can begin to understand memory processing in our own minds."  Researchers in the US and UK have uncovered a "pathology" affecting floating-point arithmetic that introduces significant errors when describing systems that are extremely sensitive to their initial conditions.  Applying AI know-how to the giant pool of data gathered from the world's leading and most powerful scientific instruments could accelerate the process of scientific discovery.  Scientists from the University of Oxford, in collaboration with University of Basel and Lancaster University, have developed an algorithm that can be used to measure quantum dots automatically.  A research team from the RIKEN Center for Advanced Intelligence Project (AIP) has successfully developed a new method for machine learning that allows an AI to make classifications without what is known as "negative data," a finding which could lead to wider application to a variety of classification tasks.  Artificial intelligence is helping improve safety along a stretch of Las Vegas' busiest highway.  The New York Times contacted IBM Research in late September asking for our help to use AI in a clever way to create art for the coming special section on AI.  Granting human rights to a computer would degrade human dignity.  IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence.  A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research, finds a new study published in the open-access journal Frontiers in Neuroscience.  The possibility of cognitive nuclear-spin processing came to Fisher in part through studies performed in the 1980s that reported a remarkable lithium isotope dependence on the behavior of mother rats. 
Comments: 53 Pages.
[v1] 2019-10-07 07:38:38
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